GitHub

Introduction to artificial neural networks in Python

This repository is a fork from https://github.com/carpentries-incubator/machine-learning-neural-python, an excellent introduction to ML for images. This half-day ...
IEEE

A Review of Uncertainty Representation and Quantification in Neural Networks

Abstract: Effectively estimating the uncertainty attached to neural network predictions thus becomes essential to improve robustness, reliability, and trustworthiness. This paper provides an overview ...
IEEE

A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations

Abstract: Modern deep neural networks, particularly recent large language models, come with massive model sizes that require significant computational and storage ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...